{"id":"W3157995960","doi":"10.1101/2021.04.23.21255959","title":"Increased Interregional Travel to Shopping Malls and Restaurants in Response to Differential COVID-19 Restrictions in the Greater Toronto Area","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Ottawa Hospital; Sunnybrook Hospital; Communications Research Centre Canada; Public Health Ontario; University of Toronto","funders":"","keywords":"Metropolitan area; TRIPS architecture; Coronavirus disease 2019 (COVID-19); Geography; Pandemic; Advertising; Business; Government (linguistics); Medicine; Transport engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002887889,0.0002326657,0.0001740565,0.000506941,0.0009926879,0.0009167861,0.0005559818,0.0002781702,0.001914569],"category_scores_gemma":[0.001862911,0.000183383,0.0003870193,0.001500431,0.0006574393,0.0003289792,0.001294816,0.000408306,0.000150674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007668991,"about_ca_system_score_gemma":0.004971169,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9069573,"about_ca_topic_score_gemma":0.9585831,"domain_scores_codex":[0.9993054,0.0001411183,0.00004381908,0.0001415936,0.0001486114,0.0002194589],"domain_scores_gemma":[0.998621,0.00009633711,0.0005523073,0.00007492217,0.0003211694,0.0003343441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001294444,0.00001692103,0.989712,0.00008076629,0.00009129068,0.0002238067,0.003015097,0.0005894273,0.000934075,0.00016066,0.001439141,0.003607398],"study_design_scores_gemma":[0.000002671097,0.0000178261,0.9956731,0.00002144807,0.00001525786,0.00004911123,0.002919152,0.0002730883,0.00008317278,0.00001649521,0.0009220733,0.000006483526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995113,0.0001465954,0.0001982872,0.0002460127,0.00001030583,0.00002885836,0.002650325,0.000009760009,0.001596983],"genre_scores_gemma":[0.9982085,0.0001123614,0.0001907178,0.0000767171,0.000007287627,0.00002124668,0.000784963,0.000003337925,0.0005949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09304267,"threshold_uncertainty_score":0.1871812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2894381364276135,"score_gpt":0.4213834265740476,"score_spread":0.1319452901464341,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}